Triple
T26722168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of the Northern Mariana Islands |
E673734
|
entity |
| Predicate | latteStoneColor |
P56899
|
FINISHED |
| Object | gray |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: gray | Statement: [Flag of the Northern Mariana Islands, latteStoneColor, gray]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: latteStoneColor Context triple: [Flag of the Northern Mariana Islands, latteStoneColor, gray]
-
A.
latteStoneRepresents
Indicates that one entity (typically a symbol, object, or depiction) stands for or signifies a latte stone in relation to another entity or context.
-
B.
stoneColor
chosen
Indicates that one entity has a particular color attribute associated with a stone.
-
C.
colorOfMarble
Indicates the specific color attribute associated with a given marble.
-
D.
stipeColor
Indicates the color characteristic of the stipe (stem) of an organism, typically a fungus or mushroom.
-
E.
hasFloorColor
Indicates that an entity possesses a floor whose surface is characterized by a specific color.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69eecda481d08190aea69f2f7c745f56 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f61a17a7788190946f7e32d63cd43f |
completed | May 2, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69f611ab768c8190b1849c15a3e59dda |
completed | May 2, 2026, 3 p.m. |
Created at: April 27, 2026, 3:41 a.m.